18 min
data.table is a package is used for working with tabular data in R. It provides the efficient data.table object which is a much improved...
36 min
The data.table package in R is super fast when it comes to handling data. It has a syntax that reduces keystrokes while making R...
13 min
Naive Bayes is a probabilistic machine learning algorithm based on the Bayes Theorem, used in a wide variety of classification tasks. In this post,...
19 min
In machine learning, Feature selection is the process of choosing variables that are useful in predicting the response (Y). It is considered a good...
27 min
Caret Package is a comprehensive framework for building machine learning models in R. In this tutorial, I explain nearly all the core features of...
12 min
Logistic regression is a predictive modelling algorithm that is used when the Y variable is binary categorical. That is, it can take only two...
9 min
How to implement and interpret the commonly used statistical significance tests in R? Understand the purpose, when to use and how to interpret the...
16 min
We have covered the basic concepts about linear regression. Besides these, you need to understand that linear regression is based on certain underlying assumptions...
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